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Braintrust is an AI observability and evaluation platform that enables developers to trace, test, and improve AI agents in production.
AI observability platform for evaluating, debugging, and improving AI agents.
Website: https://www.braintrust.dev/
Braintrust is an AI observability and evaluation platform designed to help developers build reliable AI applications and agents. It provides tools for tracing model outputs, evaluating prompts, and monitoring AI performance in production environments.
The platform focuses on connecting AI evaluation workflows with observability, allowing teams to compare models, test prompts, analyze outputs, and catch regressions before they affect users.
Braintrust captures detailed traces of AI requests and converts them into datasets and evaluation metrics, enabling developers to continuously improve AI quality with real user data.
Companies building production AI systems use Braintrust to monitor performance, debug issues, and run experiments on prompts and models to improve the reliability of AI applications.
| Attribute | Details |
|---|---|
| Category | AI Agent Builder |
| Pricing | Paid plans available |
| Source Type | Closed Source |
| Deployment | Cloud platform |
| Primary Focus | AI observability and evaluation |
| Feature / Tool | Braintrust | Phoenix | LangSmith | Weights & Biases |
|---|---|---|---|---|
| AI observability | Yes | Yes | Yes | Limited |
| Prompt evaluation | Yes | Yes | Yes | Limited |
| Model comparison | Yes | Limited | Yes | Limited |
| Experiment tracking | Yes | Yes | Yes | Yes |
| Best for | AI evaluation | Open-source monitoring | LLM development | ML experiments |
Braintrust is an AI observability platform that helps developers evaluate, monitor, and improve AI applications and agents.
It provides tracing, prompt evaluation, and experimentation tools that allow teams to monitor AI performance and improve model outputs.
Yes. Braintrust captures production traces and converts them into evaluation datasets to improve AI quality.
AI engineers, machine learning teams, and companies building AI-powered applications.